Trengo
Product
DataAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analyst at Trengo. Skills: Data Analysis, SQL, Python, AI integration. Build and curate the data and knowledge layers that feed Trengo's AI support agent performance analytics and knowledge gap analysis for Engineering and Product.. Identify and build AI-powered automation for RevOps workflows, reducing manual work and increasing speed and accuracy across revenue operations.”
What You'll Achieve.
make our AI features measurably better over time; ensure our agents are grounded in the right data and learning from real outcomes; reducing manual work and increasing speed and accuracy across revenue operations; moving them beyond raw DWH tables toward self-serve insight and report generation; support decisions on churn, pipeline health, marketing effectiveness, and customer operations; you care whether the agent's proposal was accepted, not just whether the data was you see user rejection as your most valuable data point
Industry & Context.
turning signals from our platform and customer interactions into intelligence that drives decisions
60 days per year to work abroad
What They're Looking For.
Must Have
3+ years of hands-on SQL experience across complex, production comfortable with window functions, CTEs, and query optimisation across large-scale data warehouses (e.g. BigQuery), Proven experience building and maintaining data pipelines, solid understanding of data modelling best practices, Hands-on with Python and LLM/AI APIs (OpenAI, Google Cloud AI, or similar), familiar with RAG patterns, prompt design, and cloud-native AI services
Nice to Have
AI Engineer or ML Engineer role (implementation is Engineering's domain)
What You'll Do.
Build and curate the data and knowledge layers that feed Trengo's AI support agent performance analytics and knowledge gap analysis for Engineering and Product.
Identify and build AI-powered automation for RevOps workflows
reducing manual work and increasing speed and accuracy across revenue operations.
Enable business teams (RevOps
GTM) with AI-powered analytics tools
moving them beyond raw DWH tables toward self-serve insight and report generation.
Build predictive models and data products that support decisions on churn
marketing effectiveness
and customer operations.
How You'll Work.
Team & Collaboration
partnering closely with our AI Engineer; work closely with Product, Engineering, Customer Success, RevOps, and Finance; collaborate with a tight-knit team
Communication Scope
land with the right people
Full Job Description
At Trengo, data isn't a back-office function; it's what makes our product smarter and our customers more successful. As a Data Analyst on our Data Analytics Team, you'll sit at the intersection of data, AI, and business enablement: turning signals from our platform and customer interactions into intelligence that drives decisions, automates workflows, and makes our AI features measurably better over time. This is a Data Analyst role at its core. But you'll go further than most analysts do. You'll use AI as an integral part of how you work and deliver, partnering closely with our AI Engineer to surface intelligence improvement insights, propose concepts to test, and ensure our agents are grounded in the right data and learning from real outcomes. You'll work closely with Product, Engineering, Customer Success, RevOps, and Finance. You'll report to the Data Analytics Manager and collaborate with a tight-knit team that moves fast and cares deeply about delivering value. WHAT YOU'LL DO - Build and curate the data and knowledge layers that feed Trengo's AI agents; support agent performance analytics and knowledge gap analysis for Engineering and Product. - Identify and build AI-powered automation for RevOps workflows, reducing manual work and increasing speed and accuracy across revenue operations. - Enable business teams (RevOps, Finance, GTM) with AI-powered analytics tools, moving them beyond raw DWH tables toward self-serve insight and report generation. - Build predictive models and data products that support decisions on churn, pipeline health, marketing effectiveness, and customer operations. WHAT WE'RE LOOKING FOR - 3+ years of hands-on SQL experience across complex, production datasets; comfortable with window functions, CTEs, and query optimisation across large-scale data warehouses (e.g. BigQuery) - Proven experience building and maintaining data pipelines, with a solid understanding of data modelling best practices. - Hands-on with Python and LLM/AI APIs (Ope
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